A Diagnostic System for Vacuum Cleaner Motors

Abstract A prototype of a diagnostic system for quality end-tests of vacuum cleaner motors is presented. The core of the system are four modules for features extraction based on vibration analysis, sound analysis, analysis of commutation and check of parity relations respectively. The symptoms resulting there from are processed by a reasoning module relying on the Transferable Belief Model (TBM). The result of such a comprehensive diagnostic procedure is detection of faulty motors and localisation of tentative fault origins along with accompanying belief measures. Attributes of the system performance and an excerpt from results obtained in an experimental study over a series of motors are provided.